期刊
JOURNAL OF HAZARDOUS MATERIALS
卷 430, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhazmat.2022.128420
关键词
Printed circuit boards; Waste tire; Co-pyrolysis; Heteroatom; Product predication
资金
- Japan Society for Promotion of Science (JSPS) KAKENHI [20F20089, 19H04306]
- JST FOREST Program [JPMJFR206U]
- JSPS
- Grants-in-Aid for Scientific Research [20F20089] Funding Source: KAKEN
Fast co-pyrolysis is a promising technique for solving environmental issues and recovering value-added products from polymer wastes. This study comprehensively investigated the co-pyrolysis of printed circuit boards and waste tires, finding that increasing the temperature during pyrolysis improved the interactions between the two materials and increased the formation of aliphatic and aromatic compounds, as well as promoting the formation of p-cymene.
Fast co-pyrolysis has been suggested as a promising technique to solve the environmental issues and simultaneously recover value-added products from polymer wastes. However, to date, no studies have focused on fast co-pyrolysis of printed circuit boards (PCB) and waste tire (WT). Therefore, we comprehensively investigated the fast co-pyrolysis of PCB and WT using pyrolysis-gas chromatography/mass spectrometry. The results show that an increase in temperature during fast pyrolysis improved the interactions between the PCB and WT pyrolyzates, increasing the formation of aliphatic and aromatic compounds. The formation of p-cymene was greatly induced by the isomerization and dehydrogenation reactions of D-limonene. Co-pyrolysis reduced the formation of brominated phenols and benzothiazole from PCB and WT pyrolysis, respectively, whereas promoted the interactions between Br- and S/N-containing radicals, concentrating them into heavy compounds. Increasing the temperature enhanced the release of heteroatom compounds. The findings suggest that debromination of PCB achieved via dehydrogenation of WT pyrolysis provoked secondary reactions of olefins and interactions of heteroatom radicals. The major products were accurately predicted by different fitting models using response surface methodology, indicating the synergistic interactions during co-pyrolysis. The results were beneficial for optimizing the experimental parameters to obtain the maximum yield of desired products.
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